CDW Research Hub

APRIL 18, 2022

The complexity and cost of SIEM solutions and the number of resources that security consumes can easily swallow a large portion of an enterprise’s budget, causing many organizations to fall behind in the security data race. Security data lakes can reduce organizations’ reliance on SIEM solutions.

Data Lake 75

Data Lake Data Collection Enterprise Risk 75

Corinium

APRIL 9, 2019

The early days of Big Data were defined by building massive data stores, or data lakes of unstructured data that were searchable in ways and at speeds that were not previously possible.

Unstructured Data 150

Unstructured Data Data Lake Big Data Data Collection 150

Alation

FEBRUARY 20, 2020

More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. By dramatically lowering the cost of storing data for analysis, it ushered in an era of massive data collection. You did not have to understand or prepare the data to get it into Hadoop, so people rarely did.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models. earthquake, flood, or fire), where the data collected does not need to be as tightly controlled.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

Cloudera

JUNE 2, 2022

Over the last decade, we have often heard about the proliferation of data creating sources (mobile applications, laptops, sensors, enterprise apps) in heterogeneous environments (cloud, on-prem, edge) resulting in the exponential growth of data being created.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

CIO Business Intelligence

JULY 13, 2022

Over the last decade, we have often heard about the proliferation of data creating sources (mobile applications, laptops, sensors, enterprise apps) in heterogeneous environments (cloud, on-prem, edge) resulting in the exponential growth of data being created.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

CIO Business Intelligence

AUGUST 9, 2024

The complexities of compliance In May, the Italian Data Protection Authority highlighted how training models on which gen AI systems are based always require a huge amount of data, often obtained by web scraping, or a massive and indiscriminate collection carried out on the web, it says.

Risk 138

Risk Measurement Data Lake Modeling 138

Cloudera

MAY 9, 2023

New Data Lakehouse Enables Stronger Data Governance SoftBank needed to reduce the number of workloads on its existing platform and decided to adopt Cloudera to build a data lake capable of managing data more effectively. Team members with various Cloudera capabilities provided 24-hour support for upgrade.

Data Lake 90

Data Lake IoT Data Governance Data Strategy 90

AWS Big Data

JULY 3, 2023

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. This is where the tagging feature in Apache Iceberg comes in handy.

Snapshot 101

Snapshot Data Lake Testing Strategy 101

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

APRIL 29, 2022

This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant.

Data Governance 145

Data Governance IT Risk Data Lake 145

Cloudera

SEPTEMBER 15, 2021

Without them, data collected by IoT sensors, cameras and other devices would have to travel to a data center located hundreds or thousands of miles away. In such a scenario, data latency is essentially unavoidable — and, when real-time action is required, inadmissible. Real-time Demands. Scalability Requirements.

IoT 120

IoT Analytics Internet of Things Data Lake 120

Cloudera

JANUARY 21, 2021

Storing data in a proprietary, single-workload solution also recreates dangerous data silos all over again, as it locks out other types of workloads over the same shared data. The Data Lake service in Cloudera’s Data Platform provides a central place to understand, manage, secure, and govern data assets across the enterprise.

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Towards Data Science ). Forrester ). Gartner ).

Data Architecture 79

Data Architecture Data Lake Data Warehouse Metadata 79

AWS Big Data

MAY 15, 2024

By extracting detailed information from CloudTrail and querying it using Athena, this solution streamlines the process of data collection, analysis, and reporting of EIP usage within an AWS account. Additionally, you can analyze activity logs with AWS CloudTrail Lake and Amazon Athena.

Snapshot 110

Snapshot Optimization Data Lake Reporting 110

CIO Business Intelligence

OCTOBER 2, 2024

With different people filtering and augmenting data, you need to trace who makes which changes and why, and you need to know which version of the data set was used to train a given model. And with all the data an enterprise has to manage, it’s essential to automate the processes of data collection, filtering, and categorization.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Cloudera

DECEMBER 8, 2020

Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Instead of collecting data on a single server or data lake, it remains in place — on smartphones, industrial sensing equipment, and other edge devices — and models are trained on-device.

Machine Learning 85

Machine Learning Data Lake Reporting Data Collection 85

Cloudera

APRIL 20, 2022

However, consider all the data collection, merging, analyzing and storing this simple interaction requires; it’s not so simple. Data needs to be stored for treatment, drug interactions and/or allergies, patient records, compliance, pharmacy, payment and insurance purposes.

Insurance 101

Insurance Measurement Data Lake Risk 101

CIO Business Intelligence

JANUARY 30, 2024

Only a few enterprises have adopted fully automated ESG data collection and monitoring tools; the majority still depend on unreliable manual practices,” Everest’s Narayanan says. From there, CIOs can determine the most relevant pieces of data and how to source and automate the gathering of that data, IDC’s Cravens says.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 84

Data Strategy Strategy Data Warehouse Prescriptive Analytics 84

CIO Business Intelligence

MAY 26, 2022

MLOps covers the full gamut from data collection, verification, and analysis, all the way to managing machine resources and tracking model performance. Data lakes work well for companies doing a lot of analytics at high frequencies who are looking for low-cost storage, for example.

Machine Learning 145

Machine Learning Modeling Data-driven Dashboards 145

Alation

FEBRUARY 1, 2022

Today organizations view data as the “new oil”, an asset that, if used wisely, can support innovation while providing a meaningful competitive advantage and a better customer experience. And with data collection and replication growing so quickly, governance is more important than ever. Curious to learn more?

Data Lake 52

Data Lake Data Governance ROI Cost-Benefit 52

CIO Business Intelligence

MAY 28, 2022

MLOps covers the full gamut from data collection, verification, and analysis, all the way to managing machine resources and tracking model performance. Data lakes work well for companies doing a lot of analytics at high frequencies who are looking for low-cost storage, for example.

Machine Learning 143

Machine Learning Modeling Data-driven Dashboards 143

AWS Big Data

DECEMBER 5, 2023

The counties that are in lighter shades represent limited survey responses and need to be included in the targeted data collection strategy. Finally, the dashboard’s user-friendly interface made survey data more accessible to a wider range of stakeholders. The first image shows the dashboard without any active filters.

Measurement 100

Measurement Dashboards Data Warehouse Analytics 100

Darkhorse

JULY 6, 2017

So what is data wrangling? Let’s imagine the process of building a data lake. First off, data wrangling is gathering the appropriate data. You’ve got yourself a little data lake, but its waters are brackish. It’s time to start digging into the data content. I hope you enjoy that sort of thing.

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

Cloudera

DECEMBER 16, 2022

Cloudera has long had the capabilities of a data lakehouse, if not the label. Cloudera enables an open data lakehouse architecture that combines all the flexibility of the data lake with the performance of the data warehouse, so enterprises can use all data — both structured and unstructured.

Management 92

Management Metadata Machine Learning Data Lake 92

CIO Business Intelligence

NOVEMBER 28, 2023

With each game release and update, the amount of unstructured data being processed grows exponentially, Konoval says. This volume of data poses serious challenges in terms of storage and efficient processing,” he says. To address this problem RetroStyle Games invested in data lakes. Ensure value with visualizations.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. CDF can do this within a common framework that offers unified security, governance and management.

IoT 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

Alation

FEBRUARY 13, 2020

Figure 1 illustrates the typical metadata subjects contained in a data catalog. Figure 1 – Data Catalog Metadata Subjects. Datasets are the files and tables that data workers need to find and access. They may reside in a data lake, warehouse, master data repository, or any other shared data resource.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

Alation

MAY 16, 2023

Sources can include analytics data regarding user behavior, transactional data from ecommerce websites, and third-party data from other organizations. It’s worth noting that a data pipeline may have more than one data source. Ingestion tools are connected to various data sources.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

Jedox

JANUARY 19, 2023

IBP solutions, such as Jedox, do this by automating data collection and integrating it into one platform. Kevin Alansky: Organizations can reach this elevated state of planning by making adaptable plans that outperform expectations. Doing that creates a culture of decisiveness, confidence, and performance.

IT 86

IT Forecasting Data Lake Marketing 86

Cloudera

JUNE 6, 2019

While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Now the admins need to synchronize multiple copies of the data and metadata and ensure that users across the many clusters are not viewing stale information.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Cloudera

SEPTEMBER 8, 2021

The Cloudera Data Platform (CDP) provides a consistent management experience across each of these environments backed by a shared security and governance fabric. . CDP supports the entire data life cycle from data collection, engineering, reporting, serving to prediction.

Data Lake 79

Data Lake Enterprise Data-driven Data Strategy 79

Smart Data Collective

OCTOBER 26, 2019

Big Data Storage Concerns. Large data lakes can take up a massive amount of space, and for off-site storage, this can be a significant concern in cost. Additionally, having a data storage of such magnitude off-site could potentially result in hefty transport fees if the off-site location is far away.

Big Data 67

Big Data Data Lake Cost-Benefit Measurement 67